Package: mitml 0.4-5

mitml: Tools for Multiple Imputation in Multilevel Modeling

Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo', and several functions for visualization, data management and the analysis of multiply imputed data sets.

Authors:Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]

mitml_0.4-5.tar.gz
mitml_0.4-5.zip(r-4.5)mitml_0.4-5.zip(r-4.4)mitml_0.4-5.zip(r-4.3)
mitml_0.4-5.tgz(r-4.4-any)mitml_0.4-5.tgz(r-4.3-any)
mitml_0.4-5.tar.gz(r-4.5-noble)mitml_0.4-5.tar.gz(r-4.4-noble)
mitml_0.4-5.tgz(r-4.4-emscripten)mitml_0.4-5.tgz(r-4.3-emscripten)
mitml.pdf |mitml.html✨
mitml/json (API)
NEWS

# Install 'mitml' in R:
install.packages('mitml', repos = c('https://simongrund1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/simongrund1/mitml/issues

Datasets:
  • justice - Example data set on employees' justice perceptions and satisfaction
  • leadership - Example data set on leadership style and job satisfaction
  • studentratings - Example data set on student ratings and achievement

On CRAN:

imputationmissing-datamixed-effectsmultilevel-datamultilevel-models

12.41 score 29 stars 142 packages 242 scripts 58k downloads 11 mentions 31 exports 43 dependencies

Last updated 12 months agofrom:1b347258e4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:amelia2mitml.listanova.mitml.resultas.mitml.listc.mitml.listcbind.mitml.listclusterMeansconfint.mitml.testEstimatesis.mitml.listjomo2mitml.listjomoImputelong2mitml.listmids2mitml.listmitml.list2midsmitmlCompletemultilevelR2panImputeplot.mitmlrbind.mitml.listread.mitmlsort.mitml.listsubset.mitml.listsummary.mitmltestConstraintstestEstimatestestModelswith.mitml.listwithin.mitml.listwrite.mitmlwrite.mitmlMpluswrite.mitmlSAVwrite.mitmlSPSS

Dependencies:bitbit64bootclicliprcpp11crayonfansiforcatsgluehavenhmsjomolatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrnumDerivordinalpanpillarpkgconfigprettyunitsprogressR6RcppRcppEigenreadrrlangsurvivaltibbletidyselecttzdbucminfutf8vctrsvroomwithr

Analysis of Multiply Imputed Data Sets

Rendered fromAnalysis.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-01-05
Started: 2017-10-19

Imputation of Missing Data at Level 2

Rendered fromLevel2.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-01-05
Started: 2017-10-19

Introduction

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-01-05
Started: 2017-03-14

Readme and manuals

Help Manual

Help pageTopics
mitml: Tools for multiple imputation in multilevel modelingmitml-package
Convert objects of class 'amelia' to 'mitml.list'amelia2mitml.list
Compare several nested modelsanova.mitml.result
Convert a list of data sets to 'mitml.list'as.mitml.list
Concatenate lists of imputed data setsc.mitml.list cbind.mitml.list rbind.mitml.list
Calculate cluster meansclusterMeans
Summarize and extract pooled parameter estimatescoef.mitml.testEstimates confint.mitml.testEstimates vcov.mitml.testEstimates
Check if an object is of class 'mitml.list'is.mitml.list
Impute single-level and multilevel missing data using 'jomo'jomoImpute
Example data set on employees' justice perceptions and satisfactionjustice
Example data set on leadership style and job satisfactionleadership
Convert imputations from long format to 'mitml.list'jomo2mitml.list long2mitml.list
Convert objects of class 'mids' to 'mitml.list'mids2mitml.list
Convert objects of class 'mitml.list' to 'mids'mitml.list2mids
Extract imputed data setsmitmlComplete
Calculate R-squared measures for multilevel modelsmultilevelR2
Impute multilevel missing data using 'pan'panImpute
Print diagnostic plotsplot.mitml
Read 'mitml' objects from fileread.mitml
Sort a list of imputed data setssort.mitml.list
Example data set on student ratings and achievementstudentratings
Subset a list of imputed data setssubset.mitml.list
Summary measures for imputation modelssummary.mitml
Test functions and constraints of model parameterstestConstraints
Compute final estimates and inferencestestEstimates
Test multiple parameters and compare nested modelstestModels
Evaluate an expression in a list of imputed data setswith.mitml.list within.mitml.list
Write 'mitml' objects to filewrite.mitml
Write 'mitml' objects to Mplus formatwrite.mitmlMplus
Write 'mitml' objects to native SPSS formatwrite.mitmlSAV
Write 'mitml' objects to SPSS compatible formatwrite.mitmlSPSS